| Upload Date | November 11 2025 09:39 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP OmniBook Ultra Flip Laptop 14-fh0xxx |
| Motherboard | HP 8CDE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 288V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1914
356.0 IPS |
|
|
Image Classification (HP)
|
100% |
15730
2.93 KIPS |
|
|
Image Classification (Q)
|
100% |
22121
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20236
328.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33984
550.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3455
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
115362
134.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
256613
300.6 IPS |
|
|
Object Detection (SP)
|
100% |
1898
150.5 IPS |
|
|
Object Detection (HP)
|
100% |
18638
1.48 KIPS |
|
|
Object Detection (Q)
|
88% |
28386
2.28 KIPS |
|
|
Face Detection (SP)
|
100% |
5781
68.7 IPS |
|
|
Face Detection (HP)
|
100% |
44388
527.4 IPS |
|
|
Face Detection (Q)
|
100% |
100720
1.20 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4589
35.4 IPS |
|
|
Depth Estimation (HP)
|
92% |
87556
679.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
172464
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
10273
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
261588
336.3 IPS |
|
|
Style Transfer (Q)
|
98% |
439383
566.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2191
80.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46655
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85067
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2205
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3119
4.16 KIPS |
|
|
Text Classification (Q)
|
92% |
3654
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3484
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9082
156.4 IPS |
|
|
Machine Translation (Q)
|
100% |
11094
191.1 IPS |